New math model controls biological noise at single-cell level, offering a path to tackle cancer relapse and drug resistance.
Dagens.com on MSN
Even the best AI models can’t reliably do simple math
A new study digs into why modern AI models stumble over multi-digit multiplication and what kind of training finally makes ...
Tech Xplore on MSN
AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Researchers tested the accuracy of five AI models using 500 everyday math prompts. The results show that there is roughly a ...
Why does cancer sometimes recur even after successful treatment, or why do some bacteria survive despite the use of powerful ...
The New York–based program studies how structured musical elements may assist student understanding of math concepts. Structured rhythm can provide a framework that helps students organize and ...
36mon MSNOpinion
Israel’s security depends on tech education-opinion
Israel’s tech future is being decided in eighth grade, but declining STEM performance now threatens the nation’s security, ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.
Abstract Automatically assessing handwritten mathematical solutions is an important problem in educational technology with practical applications, but ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
The future of AI depends on systems that can earn trust—not with marketing slogans, but with technical rigor. That future is ...
News Medical on MSN
A mathematical solution for precise control of cellular “noise”
Why does cancer sometimes recur after chemotherapy? Why do some bacteria survive antibiotic treatment? In many cases, the answer appears to lie not in genetic differences, but in biological noise - ...
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